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首页> 外文会议>Visualization, Image-Guided Procedures pt.2; Progress in Biomedical Optics and Imaging; vol.8 no.28; Proceedings of SPIE-The International Society for Optical Engineering; vol.6509 pt.2 >Multi-volume visualization for interactive therapy planning
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Multi-volume visualization for interactive therapy planning

机译：多体积可视化，用于交互式治疗计划

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摘要

During the past decade, various volume visualization techniques have been developed for different purposes, and many of them, such as direct volume rendering, maximum intensity projection and non-photorealistic rendering, have been implemented on consumer graphics hardware for real time visualization. However, effective multi-volume visualization, a way to establish the visual connections between two or more types of data, has not been adequately addressed even though it has wide applications in medical imaging and numerical simulation based on 3D physical model. In this paper, we aim to develop an effective GPU-based system for multi-volume visualization which is able to reveal both the connections and distinctions among multiple volume data. To address the main challenge for multi-volume visualization on how to establish the visual correspondences while maintaining the distinctive information among multiple volumes, a multi-level distinction mechanism is developed including 2D transfer function, mixed rendering modes, and volume clipping. Taking advantage of the fast hardware-supported processing capabilities, the system is implemented based on the GPU programming. Several advanced volume rendering techniques based on segmented volume are also implemented. The resulting visualization is a highly interactive image fusion system with high quality image and three-level volume distinction. We demonstrate the effectiveness of our system with a case study in which the heat effect on brain tumor, represented as a temperature volume resulting from high intensity focused ultrasound beam exposure over time, is visualized in the context of a MRI head volume.
机译：在过去的十年中，已经针对不同的目的开发了各种体积可视化技术，并且其中许多（例如直接体积渲染，最大强度投影和非真实感渲染）已在消费类图形硬件上实现了实时可视化。但是，有效的多体积可视化是在两种或多种类型的数据之间建立可视连接的一种方法，尽管它在基于3D物理模型的医学成像和数值模拟中具有广泛的应用，但尚未得到充分解决。在本文中，我们旨在开发一个有效的基于GPU的多卷可视化系统，该系统能够揭示多卷数据之间的联系和区别。为了解决多卷可视化的主要挑战，即如何在保持多卷之间的区别信息的同时建立视觉对应关系，开发了一种多级区分机制，包括2D传递函数，混合渲染模式和卷裁剪。利用快速的硬件支持的处理能力，该系统是基于GPU编程实现的。还实现了基于分段体积的几种高级体积渲染技术。最终的可视化效果是具有高质量图像和三级体积差异的高度交互式图像融合系统。我们通过一个案例研究证明了我们系统的有效性，在该案例研究中，在MRI头部体积的背景下可视化了对脑肿瘤的热效应，该效应表示为高强度聚焦超声束随时间暴露而产生的温度体积。

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